Dataset Versions
Versions
v1
2024-09-17 8:05pm
Generated on Sep 17, 2024
1689 Total Images
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Dataset Split
Train Set 88%
1482Images
Valid Set 8%
139Images
Test Set 4%
68Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 380x380
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 22% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%